Artificial intelligence (AI), which includes machine learning and deep learning has been introduced to nursing care in recent years. The present study reviews the following topics: the concepts of AI, machine learning, and deep learning; examples of AI-based nursing research; the necessity of education on AI in nursing schools; and the areas of nursing care where AI is useful. AI refers to an intelligent system consisting not of a human, but a machine. Machine learning refers to computers' ability to learn without being explicitly programmed. Deep learning is a subset of machine learning that uses artificial neural networks consisting of multiple hidden layers. It is suggested that the educational curriculum should include big data, the concept of AI, algorithms and models of machine learning, the model of deep learning, and coding practice. The standard curriculum should be organized by the nursing society. An example of an area of nursing care where AI is useful is prenatal nursing interventions based on pregnant women's nursing records and AI-based prediction of the risk of delivery according to pregnant women's age. Nurses should be able to cope with the rapidly developing environment of nursing care influenced by AI and should understand how to apply AI in their field. It is time for Korean nurses to take steps to become familiar with AI in their research, education, and practice.

Purpose: The purpose of this study was to investigate work performance and calling as determinants of job satisfaction among nurse midwives.
Methods: The participants of this study were registered nurse midwives who had worked in the delivery room for more than 6 months. Data were collected by face-to-face interviews, postal mail, and mobile devices. Subjects completed self-report questionnaires from July to August 2017. The dataset was analyzed using descriptive statistics, the independent t-test, analysis of variance, the Pearson correlation coefficient, and multiple regression.
Results: The mean score for job satisfaction was 3.42±0.45. Among the sub-factors, income had the lowest score (2.67±0.72) and management of delivery had the highest score (3.81±0.66). Job satisfaction was significantly different according to marital status (t=2.25, p=.028), residential area (t=2.43, p=.016), and cause of job satisfaction (F=4.54, p=.012). Job satisfaction showed a significant positive correlation with work performance (r=.29, p<.001) and calling (r=.57, p<.001). The correlation between work performance and calling was also positive and statistically significant (r=.32, p<.001). Purpose and meaning (β=.48, p<.001) and marital status (β=-.15, p=.025) significantly influenced job satisfaction. The model developed in this study explained 45% of variation in job satisfaction.
Conclusion: Nurse midwives' job satisfaction may be enhanced by entrusting them with professional roles and tasks. Above all, it is necessary to develop and provide programs that help nurse midwives connect their jobs with the meaning and purpose of their lives.

Purpose: This study was conducted to develop a simulation-based postpartum care education program for women with postpartum hemorrhage and to verify the effects of the program on postpartum care.
Methods: This program was developed according to the ADDIE model of instructional system design, which consists of analysis, design, development, implementation, and evaluation phases. This quasi-experimental study used a non-equivalent control group pre- and post-test design, and data were collected from April 23 to May 4, 2015. To verify the effects of the program, 33 nursing students in the experimental group participated in a simulation program, whereas 31 students in the control group were given a case study.
Results: The experimental group had statistically significantly higher scores for clinical performance (t=-4.80, p<.001), clinical judgment (t=-4.14, p<.001), and learning satisfaction (t=-10.45, p<.001) than the control group.
Conclusion: The results of this study indicate that the simulation-based postpartum care education program for women with postpartum hemorrhage was effective for developing students' competency, implying that a similar program should be integrated into the clinical training component of the maternal nursing curriculum.

Purpose: This study investigated lifestyle, depression, marital intimacy, and quality of life (QoL) in breast cancer survivors, with the goal of identifying the impacts of these factors on QoL.
Methods: A sample of 146 breast cancer survivors was surveyed in this cross-sectional study. Data were collected from March 20 to May 30, 2019, using self-report structured questionnaires at a hospital located in Jeonju, Korea. Data were analyzed using the independent t-test, analysis of variance, Pearson correlation coefficients, and hierarchical regression analysis. Participants agreed to complete a face-to-face interview, including administration of the Health Promoting Lifestyle Profile II, Depression Anxiety Stress Scale 21-Depression Scale, Marital Intimacy Scale, and Functional Assessment Cancer Therapy-Breast Cancer tool.
Results: QoL was positively correlated with lifestyle (r=.49, p<.001) and marital intimacy (r=.45, p<.001) and negatively correlated with depression (r=-.72, p<.001). Hierarchical multiple regression analysis showed that depression (β=-0.63, p<.001), marital intimacy (β=0.19, p=.001), and lifestyle (β=0.13, p=.031) had significant effects on the QoL of breast cancer survivors, accounting for 63.3% of variance in related QoL.
Conclusion: This study provides insights into how breast cancer survivors' QoL was influenced by depression, marital intimacy, and lifestyle. To improve the QoL of breast cancer survivors, healthcare providers should consider developing strategies to decrease depression, to increase marital intimacy, and to improve lifestyle.

Purpose: The purpose of this study was to identify the factors influencing mothers' intention to vaccinate their elementary-school sons against human papillomavirus (HPV).
Methods: The participants were 151 mothers of fourth- to sixth-grade boys at three elementary schools in Daejeon, Korea. The data were analyzed using SPSS for Windows version 25.0. Descriptive statistics, the independent t-test, one-way analysis of variance, the Mann-Whitney U test, Pearson correlation coefficients, and multiple regression analysis were used.
Results: The mothers' score for intention to vaccinate their sons against HPV was 5.04 out of 7. Self-efficacy (β=.60, p<.001) and subjective norms towards HPV vaccination (β=.30, p<.001) were significant factors influencing mothers' intention to vaccinate their elementary-school sons against HPV. These factors accounted for 81.0% of HPV vaccination intention among mothers (F=160.84, p<.001).
Conclusion: The results of this study suggest that to increase the HPV vaccination rate for elementary-school boys, it is necessary to develop intervention strategies to improve mothers' self-efficacy and subjective norms towards HPV vaccination and to verify the effects of those strategies. This research provides a foundation for designing interventions to increase the HPV vaccination rate of elementary-school boys.

Purpose: Infertile women experience various physical, psychological, and relational problems that affect their infertility-related quality of life (QoL). This study investigated infertile women's infertility-related QoL with the goal of identifying how it is influenced by fatigue, depression, and marital intimacy.
Methods: A sample of 140 infertile women was surveyed in a cross-sectional study. Data were collected from February to April 2018 using self-report structured questionnaires at three infertility clinics located in Jeonju, Korea. Data were analyzed using the independent t-test, analysis of variance, Pearson correlation coefficients, and stepwise multiple regression analysis in SPSS for Windows version 25.0. The subjects agreed to complete a face-to-face interview, including administration of the Fatigue Severity Scale, Depression Anxiety Stress Scale-21, Marital Intimacy Scale, and the Fertility Quality of Life tool.
Results: The mean age of the participants was 35.6±4.3 years. Infertility-related QoL was negatively correlated with fatigue (r=-.42, p<.001) and depression (r=-.56, p<.001), and positively correlated with marital intimacy (r=.30, p<.001). Multiple regression analysis showed that depression (β=-0.44, p<.001), fatigue (β=-0.27, p<.001), and husband's attitude (β=-0.19, p=.007) had significant effects on the QoL of infertile women, accounting for 40.5% of the variance in infertility-related QoL.
Conclusion: The study provides insights into how infertile women's infertility-related QoL was influenced by depression, fatigue, and their husbands' attitudes regarding infertility treatment. To improve infertile women's infertility-related QoL, healthcare providers should consider developing strategies to decrease depression and fatigue in infertile women and to address their husbands' attitudes.

Purpose: This study was conducted to investigate the effects of problem-based learning-integrative simulation practice (PBL-ISP) on nursing knowledge, critical thinking, problem-solving ability, and immersion among nursing students.
Methods: The study used a nonequivalent control group post-test design. A PBL-ISP educational program was provided to the experimental group, and hands-on practice using a high-fidelity simulator (HFS) was administered to the control group. There were 42 subjects in the experimental group and 40 in the control group. Data were collected during the fall semester of 2019. Using SPSS for Windows version 23.0, data were analyzed in terms of frequency, percentage, mean, standard deviation, the chi-square test, t-test, and Pearson correlation coefficients.
Results: Significant differences between the experimental and control groups were found in nursing knowledge (t=3.67, p<.001), critical thinking (t=3.40, p=.001), problem-solving ability (t=3.52, p=.001) and immersion (t=4.44, p<.001).
Conclusion: PBL-ISP was more effective in improving nursing knowledge, critical thinking, problem-solving ability, and immersion than was hands-on practice using an HFS.

Purpose: The purpose of this study was to investigate the effects of uncertainty and spousal support on infertility-related quality of life (QoL) in women undergoing assisted reproductive technologies.
Methods: In this correlational survey study, 172 infertile women undergoing assisted reproductive technologies for infertility treatment at M hospital in Seoul participated. Data collection took place at the outpatient department of M hospital using a self-report questionnaire from July to August 2019. Data were analyzed using SPSS for Windows version 28.0.
Results: The mean scores for uncertainty, spousal support, and infertility-related QoL were 28.35 (out of 50), 86.67 (out of 115), and 57.98 (out of 100), respectively. Infertility-related QoL was positively correlated with spousal support and negatively correlated with uncertainty. According to the regression analysis, infertility-related QoL was significantly affected by uncertainty, total number of assisted reproductive technology treatments, marriage duration, subjective health status, the financial burden of infertility testing, and the presence of a burdensome person. These variables had an explanatory power of 35.0% for infertility-related QoL.
Conclusion: Uncertainty was an important factor influencing infertility-related QoL among women undergoing assisted reproductive technologies. It is necessary to develop and implement a nursing intervention program focused on reducing various forms of uncertainty during assisted reproductive procedures and to consider other factors affecting infertility-related QoL in the clinical setting.